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Record W2567106578

STR-999: INTELLIGENT MONITORING SYSTEM REVEALS NEW INFORMATION ABOUT THE CHAMPLAIN BRIDGE

2016· article· en· W2567106578 on OpenAlexaboutno aff
Ehsan Sobhani, Armineh Garabedian, Dominic Lavigne, Chakib Kassem, René Tinawi

Bibliographic record

VenueScholarship@Western (Western University) · 2016
Typearticle
Languageen
FieldEngineering
TopicBIM and Construction Integration
Canadian institutionsnot available
Fundersnot available
KeywordsBridge (graph theory)Computer scienceForensic engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

The Champlain Bridge, constructed in 1957, is one of Canada’s busiest and most economically critical bridges. This 3.4km-long bridge consists of as many as 50 simply supported spans, 50 to 53 m long, plus an elevated truss structure over the Saint Lawrence Seaway. Each span has a cross-section of seven precast post-tensioned girders supporting cast-in-place infill strips that constitute a deck with six traffic lanes. Like many other structures, Champlain Bridge is subjected to environmental, traffic or hydrological loads, which adversely affect the structural condition of the bridge. This structural degradation is further accelerated for the Champlain Bridge due to Montreal’s cold climate, with snowfall and windy conditions, in addition to seasonal salting on the concrete deck. Consequently, structural degradation has been observed due to the corrosion of some of the post-tensioned strands in the main edge girders on the upstream and downstream side.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0120.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.064
GPT teacher head0.270
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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